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A Displacement Metric for Finite Sets of Rigid Body Displacements

A Displacement Metric for Finite Sets of Rigid Body Displacements

A Displacement Metric for Finite Sets of Rigid Body Displacements

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F<br />

T1<br />

T2<br />

PF<br />

Figure 6. Principal Frame <strong>for</strong> Four Desired Locations<br />

T1<br />

F<br />

T2<br />

T3<br />

T4<br />

T5<br />

Figure 7. Principal Frame <strong>for</strong> Ten Desired Locations<br />

The distance from the first location to the principal frame was<br />

found to be 2.7488. The distance between location #1 and<br />

location #2 was found to be 0.3485.<br />

CONCLUSIONS<br />

We have developed a metric <strong>for</strong> a finite set <strong>of</strong> rigid body<br />

displacements which uses a mapping <strong>of</strong> the special Euclidean<br />

group SE(N-1). This technique is based on embedding SE(N-<br />

1) into SO(N) via the polar decomposition <strong>of</strong> the homogeneous<br />

trans<strong>for</strong>m representation <strong>of</strong> SE(N-1). To yield a useful metric <strong>for</strong><br />

a finite set <strong>of</strong> displacements appropriate <strong>for</strong> design applications,<br />

the principal frame and the characteristic length are used. A bi-<br />

T3<br />

T6<br />

PF<br />

T7<br />

T8<br />

T9<br />

T4<br />

T10<br />

Table 3. Ten Desired Locations.<br />

# x y z Long (θ) Lat (φ) Roll (ψ)<br />

1 1.00 0.00 5.00 100 0.00 0.00<br />

2 2.00 0.00 4.00 90 0.00 10.00<br />

3 3.00 0.00 3.00 80 0.00 20.00<br />

4 4.00 0.00 2.00 70 0.00 30.00<br />

5 5.00 0.00 1.00 60 0.00 40.00<br />

6 6.00 0.00 −1.00 50 0.00 50.00<br />

7 7.00 0.00 −2.00 40 0.00 60.00<br />

8 8.00 0.00 −3.00 30 0.00 70.00<br />

9 9.00 0.00 −4.00 20 0.00 80.00<br />

10 10.00 0.00 −5.00 10 0.00 90.00<br />

invariant metric on SO(N) is then used to measure the distance<br />

between any two displacements in SE(N-1). A detailed algorithm<br />

<strong>for</strong> the application <strong>of</strong> this method was presented and illustrated<br />

by three examples. This technique has potential applications in<br />

mechanism synthesis and robot motion planning.<br />

ACKNOWLEDGMENT<br />

This material is based upon work supported by the National<br />

Science Foundation under grant #0422705. Any opinions,<br />

findings, and conclusions or recommendations expressed in this<br />

material are those <strong>of</strong> the authors and do not necessarily reflect<br />

the views <strong>of</strong> the National Science Foundation.<br />

REFERENCES<br />

[1] Lin, Q., and Burdick, J., 2000. “Objective and frameinvariant<br />

kinematic metric functions <strong>for</strong> rigid bodies”. International<br />

Journal <strong>for</strong> Robotics Research, 19(6), pp. 612–<br />

625.<br />

[2] Park, F., 1995. “Distance metrics on the rigid-body motions<br />

with applications to mechanism design”. ASME Journal <strong>of</strong><br />

Mechanical Design, 117(1), September, pp. 48–54.<br />

[3] Kazerounian, K., and Rastegar, J., 1992. “Object norms:<br />

A class <strong>of</strong> coordinate and metric independent norms <strong>for</strong><br />

displacements”. In Proceedings <strong>of</strong> the ASME 1998 Design<br />

Engineering Technical Conferences and Computers and<br />

In<strong>for</strong>mation Conference.<br />

[4] Martinez, J. M. R., and Duffy, J., 1995. “On the metrics<br />

<strong>of</strong> rigid body displacements <strong>for</strong> infinite and finite bodies”.<br />

ASME Journal <strong>of</strong> Mechanical Design, 117(1), pp. 41–47.<br />

[5] Larochelle, P., and McCarthy, J., 1995. “Planar motion<br />

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